dc.contributor.author |
Beteise, Richmond |
|
dc.date.accessioned |
2023-05-05T19:23:14Z |
|
dc.date.available |
2023-05-05T19:23:14Z |
|
dc.date.issued |
2023 |
|
dc.identifier.citation |
Beteise, R. (2023). IOT-based electrical fire early warning system. Busitema University. Unpublished dissertation. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/20.500.12283/3581 |
|
dc.description |
Dissertation |
en_US |
dc.description.abstract |
The Final year report presents an arrangement to detect the conditions or parameters that can
cause a fire in different places looking at the different classes of fire and the diverse ways of
detection and prevention of possible Electrical fire outbreaks. The system uses a microcontroller
and different sensors nodes to achieve this requirement. A set of sensor networks send data from
the diffent components via a wifi module to the database of a web based system. The electrical
system parametors such as Current, temperature of the wire, voltage and sparks at junctions are
monitored to threshold values beyond which an alarm is triggered and a particular sensor node
turned off. |
en_US |
dc.description.sponsorship |
Mr Lusiba Badru,
Busitema University |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Busitema University |
en_US |
dc.subject |
Electrical fire |
en_US |
dc.subject |
Early warning system |
en_US |
dc.subject |
Electrical fire outbreaks |
en_US |
dc.subject |
Microcontroller |
en_US |
dc.subject |
Web based system |
en_US |
dc.title |
IOT-based electrical fire early warning system |
en_US |
dc.type |
Other |
en_US |